{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Solutions\n",
    "\n",
    "## About the Data\n",
    "In this notebook, we will be working with 2 datasets:\n",
    "- Facebook's stock price throughout 2018 (obtained using the [`stock_analysis` package](https://github.com/stefmolin/stock-analysis))\n",
    "- Earthquake data from September 18, 2018 - October 13, 2018 (obtained from the US Geological Survey (USGS) using the [USGS API](https://earthquake.usgs.gov/fdsnws/event/1/))\n",
    "\n",
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "fb = pd.read_csv('../../ch_05/data/fb_stock_prices_2018.csv', index_col='date', parse_dates=True)\n",
    "quakes = pd.read_csv('../../ch_05/data/earthquakes.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1\n",
    "Plot the rolling 20-day minimum of the Facebook closing price with the pandas `plot()` method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xfde50b0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.close.rolling('20D').min().plot(title='Rolling 20D Minimum Closing Price of Facebook Stock')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2\n",
    "Create a histogram and KDE of the change from open to close in the price of Facebook stock."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11231df0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = fb.assign(differential=fb.open - fb.close).differential\n",
    "ax = series.plot(kind='hist', density=True, alpha=0.3)\n",
    "series.plot(kind='kde', color='blue', ax=ax, title='Facebook Stock Price\\'s Daily Change from Open to Close')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3\n",
    "Using the earthquake data, create box plots for the magnitudes of each `magType` used in Indonesia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mb            AxesSubplot(0.1,0.15;0.173913x0.75)\n",
       "ms_20    AxesSubplot(0.308696,0.15;0.173913x0.75)\n",
       "mwr      AxesSubplot(0.517391,0.15;0.173913x0.75)\n",
       "mww      AxesSubplot(0.726087,0.15;0.173913x0.75)\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "quakes.query(\n",
    "    'parsed_place == \"Indonesia\"'\n",
    ")[['mag', 'magType']].groupby('magType').boxplot(\n",
    "    layout=(1, 4), figsize=(15, 3)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 4\n",
    "Make a line plot of the difference between the weekly maximum high price and the weekly minimum low price for Facebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e114550>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B+Qm+b+SzYpZXY0c+Xud8n2uc1zVOm/uwN3YfdqTffmd/Jc66mgT7iz4OOSnHih01+1Pne6x0jtc7oq6F55JcRwnXAxdgb04ep22twHucdfXY6+b9ThtrgZXOup9ga7tPBiYBDwPfctZd6Py+38defxdgC2q5x/AP2KJlFdgSFDuA6511n8A+VdY76//EYNXMhYBx/r4R2J7kHLkBWxDti9hz1huz/jnghqjXtcBh55zxYatktuGUd8ZeS39wvm8hg1pwIfbpCOyI2/XYulDZ0chs7WhcGm8vnCuifrAdUetKsRfeNKxAB4GyqPV/IIGgR12EVwCrsMPdwQ5Fdpf145RKJUn5XNIrXftrbLmA/xuz3W0Mit4M52Ka5Ly+B/hSgrafBzQ6f2/Hisdd2FIAqQT9V1HrLgHeTrLtL6PW/QOwJer1cqAz3nvjfLfzsAIaW9r11KjtXwWuTPB9I58Vs/w6YF3MshdxLlxsZP1/sNUbH8cO8b4YW8PmzSTnRk7LsWJvFiGgImrZd4Dboq6FVIIeZGgp20Rli38CfN/5+2vA/8TZxoO9HuZGLTsb2O78fSH2ibE0av292JLGBU5bFket+3uc8rjYG9cnotYtw5YA8OAIOvAF7PUzI4VeXAf8BRsItgFfjFoXK+gfIWpOA2fZK1hhn+20uTLOPi7EVlj9MfYJflKyNo31v7zr0EuGiHwYW4hpnrOonKHWSaSkprFV7aK36TBDPcW9RFUnjINru+xjsBjUc1HLXjaDVe7mkrh87lxSl9m8FFs35eeJGmOM2S8izwPvFZH7sLViPpuk/S53AJ/GitRHSV0RMFGZ33iMppxqLG1meGnX0Xwe2Jvg3phle7G/CwyWCG50/u7A9pP4GSwRnIhclmOdAbQbW0/EZS+25G66vGSMOSt2oYicjr05LMNGnkXY+u3J2j7N2e4NGVoqOZo2Y0xvTHtnYOvweBn6O0X/RrG/4V6nXXVRy74EfN3Yma0SYoy5A7hD7LzC73X+3mCM+UuczZOdO7OxpYgPJ9hVDTZw+htjayBljaPGQxfrSf8SK041xpgq7F05nSpsB4DJYocRu8xJ8R5X0M9mUNCfjVoWPXdlA3ZGo6qofyXGmBcYLLMZva7cGPPJqPf/EjtZwcMxbYzldmyEcBW2UyudsrR3AJ8CHo65oLJNL9kvz7ofK5TRzMHOEAWDgn6O8/czWEE/l9SCnoxkqXTJyiWnOk9c9gPVIlIRtSz6e42Gu7CTVcw2xlRi/Xj3GkvU9oPYCHxJVNsrnfe71Igz/WBUe/dj7cwQQ3+n6O8S+xvOcfYVPQ/rO4FvptPnAbamvDHmLmxFTXdqwdjfLNm504Cd7jGul4+1qS4Hficip6XTprHiqBF0rMdocH5IsfNPnpD0HQ7GmL1YL+ubIlIoImdhq/ElYy3WWjkXcOtmb8R6eeczVNCTlc9Nt8zmp7GP4w/GnPjR3I/1Vj+LLduaEmOLGZ2LrUKZS14HPuh0Cl7M0IyhscDrdMy5/wqxPu5iEfmg0zn5Aazn/aDznhewdtQarDWzCSdSZvwmmx51OVZjSyK/AHzH+a4nYsvpjqQefywV2Oi/3xGjq6PW/Q64WOw8qz4RqRWRFc6T1a+Am8WWIhYRmSVRc5ZiteYbzvV3HvYJ8x5jzADWPvx3ESkXkXrgH519gX06+LzYeU0rsJVJ7zS2PLN7PN7E2oO3iMil8b6U2KSFS8QmHnic7ZZg+61geAnpB4FlIvIB57t+EGvxPOwc/yexpZWrnN8qOmECJ+r/MPAnSXO+07HgqBF0Y8xm7EwvL2IP/nIGhTYdPoi9UNuxJWaTCqKx5WMPAQeMMZ3OsjD2BJiEvaDcbROWzzVpltk01oD7BPbu/6fYDAFnmz5s9FSP9SDTwhjzXKrH0SzwWexN1J0oI9lkyiPhK1hbxv33V2NMG7b87RewnumXsB18rQCOBfcasMkY407U/CKw1xhzaIzb5zJW5VivwVqP+7Gdkf9qjHliDNr3SeyNogtbtz0yObgTHFyGLYvcjj12y53VX8BaEuuwnYmPA9ETjDRivesD2CfNG81gQbNPYaPu3dgno9sZvD7dEsLPYss3dxHHajTGvOa07TcxNxKXI9hkhQastfbvWG/+RWf9zcA1YktI/8gY04KNsr+MPXf+EXvuuLOgubMvbcPq0T/EadOj2A7+ByVxNtqYorVcjjJE5OvYDqQPpdxYUZRjiqOqU/RYR0SqsY/W1+W6LYqi5B9HjeVyrCN24EgD8IgxZrz8XUVRjmLUclEURZkgaISuKIoyQVBBVxRFmSBktVO0trbWzJs3L5u7VBRFOep59dVXW40xdam2y6qgz5s3j/Xr12dzl4qiKEc9IhJbhiAuarkoiqJMEFTQFUVRJggq6IqiKBMEFXRFUZQJggq6oijKBEEFXVEUZYKggq4oY0Q4HJmGTFFyggq6oowRF/zwaX77YlrpwooyLqigK8oYYIxhT1svu1t7Um+sKOOECrqijAEDIWu1+IOhFFsqyvihgq4oY4Ar5H0BFXQld6igK8oY4A/aOYv7B8IptlSU8UMFXVHGgIigq+Wi5BAVdEUZA/wDarkouUcFXVHGgMEIXS0XJXeooCvKGOAKuhupK0ouUEFXlDEgYrmooCs5RAVdUcaAwSwXFXQld6igK8oYoGmLSj6ggq4oY0BkYJFG6EoOUUFXlDHA70TmgWCYcFgrLiq5QQVdUcYAf1S6ol9TF5UcoYKuKGNAdFEutV2UXKGCrihjQHRUrpkuSq5QQVeUMcA/oIKu5B4VdEUZA9RyUfIBFXRFGQOGWi7aKarkBhV0RRkDoiN0reei5AoVdEUZA4Z46FoTXckRKuiKMgZEWy59AbVclNyggq4oY4A/GKKkwAtolouSO9IWdBHxisgGEXnQeV0vIi+LyHYR+aOIFI5fMxUlv/EHw1SWFABquSi5I5MI/bPAlqjX3wP+0xizCOgAPjaWDVOUown/QJiqUivoOg2dkivSEnQRmQVcCvzKeS3ABcA9zia3A1eORwMV5WjAHwwxyYnQtZaLkivSjdBvBr4EuGdqDdBpjAk6rxuBmWPcNkU5avAHw5QX+RBRD13JHSkFXUTeAxwyxrwavTjOpnFrhorIJ0RkvYisb2lpGWEzFSW/8QfDFBd4KCnwquWi5Ix0IvQzgctFZA9wF9ZquRmoEhGfs80sYH+8NxtjfmGMWW2MWV1XVzcGTVaU/MMfDFHk81Jc4NVOUSVnpBR0Y8xXjTGzjDHzgKuBvxpjrgWeAt7nbHY98Kdxa6Wi5Dn+gTBFPg/FPo8O/Vdyxmjy0L8MfF5EdmA99VvHpkmKcvThDzqCXujV4lxKzvCl3mQQY8zTwNPO37uANWPfJEU5+vAHQxQVeCn2ebWWi5IzdKSooowSY8xghF6glouSO1TQFWWUDIQMxkCRz0OJWi5KDlFBV5RR4pbOLfJZy0Xz0JVcoYKuKKPEHRlaVOCxaYsq6EqOUEFXlFESEXSfK+jqoSu5QQVdUUaJm9ViBxZ5NEJXcoYKuqKMkuERugq6khtU0BVllAz10D30DYQwJm5pI0UZV1TQFWWURFsuJQVewsamMipKtlFBV5RREmu5gM5apOQGFXRFGSWDgu6lyBV0LaGr5AAVdEUZJYEoD31womhNXVSyjwq6ooySwZGitlMU1HJRcoMKuqKMkmjLpdhnI3SdtUjJBSroijJKBrNcbHEu0HlFldyggq4ooyQ2Dx2gP6geupJ9VNAVZZS4gl7o9VDk0whdyR0q6IoySvzBED6P4POq5aLkFhV0RRkl7gTRwODAIhV0JQeooCvKKPEHw5EBRcWOsGseupILVNAVZZT4g6FIhO5aLjoNnZILVNAVZZS4E0QDkTx0tVyUXKCCriijxHroVsg9HqHQ61HLRckJKuiKMkr8wRBFBYOXks5apOQKFXRFGSXRlgugsxYpOUMFXVFGiRV0b+S1CrqSK1TQFWWURGe5AJFp6BQl26igK8oo8Q+Eh3joJQVe7RRVcoIKuqKMkljLpUgtFyVHqKAryigZbrmooCu5QQVdUUZJbJZLSYHmoSu5QQVdUUaJ9dBjslx0CjolB6igK8ooMMYMt1x8Xp2CTskJKuiKMgqCYUPYMNRyKVQPXckNKuiKMgqiJ4h2KSrw6BR0Sk5QQVeUURCZILpgqOUSCIYJhU2umqUco6igK8ooiJ5P1MWtie7XjlEly6igK8ooiFguQyJ0nbVIyQ0q6IoyCtwoPLY4F+isRUr2SSnoIlIsIutE5A0R2SQi33SW14vIyyKyXUT+KCKF499cRckv/ANup+hwy0UzXZRsk06E7gcuMMasAFYCF4vIacD3gP80xiwCOoCPjV8zFSU/iZvlotPQKTkipaAbS7fzssD5Z4ALgHuc5bcDV45LCxUlj4lYLjEzFoF66Er2SctDFxGviLwOHAKeAHYCncaYoLNJIzBzfJqoKPlLXMulQCN0JTekJejGmJAxZiUwC1gDHBdvs3jvFZFPiMh6EVnf0tIy8pYqSh4Sz3IpVkFXckRGWS7GmE7gaeA0oEpEfM6qWcD+BO/5hTFmtTFmdV1d3Wjaqih5x2CWy9DyuaCWi5J90slyqRORKufvEuBCYAvwFPA+Z7PrgT+NVyMVJV+Jm4fu/K1pi0q28aXehOnA7SLixd4A7jbGPCgim4G7ROQmYANw6zi2U1HyksjQ/yjLRT10JVekFHRjzJvAqjjLd2H9dEU5Zhn00Acj9CIVdCVH6EhRRRkF8QR9MG1RBV3JLiroijIK/MEQXo/giyrOVej14BHtFFWyjwq6oowC/8DQ+UQBREQnilZyggq6ooyC2AmiXYoLvJrlomQdFXRFGQV2PlHvsOUlBV61XJSso4KuKKMgEAwPyUF3sdPQaYSuZBcVdEUZBQktF5+X/oAKupJdVNAVZRRYQY9juRR6NUJXso4KuqKMAuuhx+sU9aiHrmQdFXRFGQX+gfgeerHPS59aLkqWUUFXlFGQyHIpVstFyQEq6IoyChJaLj5vZPILRckWKuiKMgoSDyzy6MAiJeuooCvKKLBD/xMNLFJBV7KLCrqijAJ/MBS/U9QRdGPizsyoKOOCCrqijIJklkvYQCCkPrqSPVTQFWUUJMxy0XlFlRyggq4oIyQYChMKm4TVFmFwijpFyQYq6IoyQuJNEO3iCrpmuijZRAVdUUbI4PRz8SwXdxo6tVyU7KGCrigjxO+MBI1nuZToRNFKDlBBV5QR4o4ETWa5qKAr2UQFXVFGSDqWi3roSjZRQVeUEZLMctG0RSUXqKAryghJHqE7aYtacVHJIiroijJC0vHQtSa6kk1U0BPw8MYDrPn2k9qppSREs1yUfEMFPQGv7e3gUJefli5/rpui5Clp5aEH1UNXsocKegIaO/oAaOsJ5LglSr6StFPUp5aLkn1U0BPQ1GkFvb1HI3QlPsk8dI9HKPR5dBo6JauooCfAFfS2bo3Qlfgks1wAin0enYZuAmKM4ZZndtLQ3pvrpgxDBT0OvYEg7Y7V0q6Wi5IA13IpjGO5gM10Uctl4tHWE+A7j7zN/6xvyHVThqGCHof9TnQOKuhKYiKWSwJBLyn0quUyAXGf2hujdCJfUEGPQ0PH4A+lnaJKIvzBMB4Bn0firi/26byiE5G2btuv1tiugn5U0OQIek1ZoUboSkL8wRBFPi8iCQS9wEOfeugTDjfIa+xQD/2ooKmzD59HOG76JI3QlYT4g+G4GS4uRQUaoU9E3Ai9+Ug/gTwbZ6CCHoemjj6mVxVTW16oaYtKQvwD8SeIdikp8OoUdBMQN8gLGzhwOL9sFxX0ODR19jGzqoTqsiLaNW1RSYBruSTCWi4q6BON6Kf2xg4V9LynsaOXmVWl1JQX0hMIHZOPzQOhMB/85Uu8sLM1103JW/zB5BF6cYFXy+dOQNq6/ZQX+YD889FV0GMIBMMc6vIza3IJ1WWFwLGZutjS5eeFnW28tLMt103JW1J56CXqoU9I2roDHD99El6P0JBnmS4pBV1EZovIUyKyRUQ2ichnneXVIvKEiGx3/p88/s0dfw4c7sMYmHmMC7r7nVu6tQ8hEaktF69aLhOQ9p4AUyYVMW1S8VEZoQfeui2eAAAgAElEQVSBLxhjjgNOA/5eRI4HvgL8xRizCPiL8/qox01ZnFVVQo0j6MdipktE0LXaZEJSdYoWFejQ/4lIa7efmrJCZleXHH0eujHmgDHmNefvLmALMBO4Arjd2ex24MrxamQ2cUd/DY3Qjz1R6+h1I/Rj72aWLqk89JICL4FQmFDYZLFVyngSCIY50h+kpryIWZNLacizCN2XycYiMg9YBbwMTDXGHAAr+iIyJcF7PgF8AmDOnDmjaWtWaOzoQwSmV5ZE6nAciwW63O/cqhF6QtKxXMBOclFWlNGlpuQpbqBTU15I2BgOHvGnPA+ySdqdoiJSDvwv8DljzJF032eM+YUxZrUxZnVdXd1I2phVmjr6mFpRTKHPw6QSHz6PHJMeeiRC7/JjjEaY8UjVKVrsRO/aMTpxaHX6lGrKCpk9uRSA/Z39uWzSENISdBEpwIr5740x9zqLD4rIdGf9dODQ+DQxuzR19jJzcgkAIsLkY3T4v/udA6EwR/qCOW5NfpJyYFGhE6Hn2WhCZeS4T67WcrE6kU9ldNPJchHgVmCLMeZHUaseAK53/r4e+NPYNy/7uIOKXGrKCo/JTlE3Qgdo6c6fCCSfCITCaVkuWkJ34tDWMxihz6q2EXo+dYymE6GfCVwHXCAirzv/LgG+C7xTRLYD73ReH9WEwoYDnf2ROy9A9TEaobd1B/A6VQRbuo69758O/oFQ8iwXn04UPdGIROhlNm3R55G8Sl1M2VNjjHkOiF9ODt4xts3JLQeP9BMMm4jlAlbQN+1Pu8tgwtDRG2BuTSm7Wno0Fz0BKQcWOZaLX2uiTxjaegL4PMKkEh8iwoyqkiHltnONjhSNwp12bpjlcgwKWnvPAEumVgCaix6PYChMMGySWy6RTlH10CcKbd1+asoLIyWTZ00uyasIXQU9isigoiERehFH+oMMhI6dizIcNnT0BqivLaPAKyrocQiEks9WBOqhT0TaewLUlBVFXs+eXHrUeejHDG6EPiM6Qi+3g4s6cuijH+kf4Cd/3Z612std/UFCYUN1WSF15UUq6HFINf0cRGe5qKBPFFq7AxFNABv8tXT586afRAU9isaOPmrKCiktHOxayIfh/3/ZcpAfPL6NtdtasrK/difDpbqskNqKokjurTKI37m5FhUks1zcTtFj5+luotPW449oAsDsPMt0UUGPorGjd0iHKJAXBbrcCPmZbAm6k5qlEXpi3I7O5JaLXacFuiYO7d0BasoHLRfXns0XH10FPYrYHHQYtFxyGaG7gvr0tkNZGbXZ3jMAOIJeUaRZLnGIROhJOkXd6F1nLZoY9AVC9ARCkSAPYNZkjdDzEmMM++MIerXTAZLLTJdWJ/e1ob2PPW3jHwm4/QWTS62gt3X7tcBUDGl56AWah54pwVCYT/3+1bycWMUdVFQb5aFPqSii0OvJmyJdKugObT0B+gfCQzJcAKpKCvBI7i2XKRX2xvLM1vGvsBDtoddVFBE2Q0eOKlGWS5I89AKv4BG1XDLhlT0dPLyxmcfeas51U4bhakB0lovHI8ycnD9ldFXQHdwfZKbzCOXi8QiTS3M7/L+ly8/K2VXU15ZlxUdv7wlQ5PNQWuil1vEL1UcfSjqWi4joNHQZ8tgmK+TZeBLNFHeUaHVUhA5uLroKel7h5qDHWi7gDP/PYQnd1m4/tRVFnLu4jhd3tY37I3x7T4DqMjt4oq5CBT0e6XSKgk5DlwnGGJ7YfBCAPW09OW7NcNxsr9qoCB2sj96YJwW6VNAdmjrtDxKb5QK5recSDIVp7w1QV24FvX8gzCt72sd1nx09ASaX2iikTiP0uEQ89CSWC+g0dJnwVtORSGJCY0df3g3mi1gucSL0tp4AvYHcVyVVQXdo6uijothHZUnBsHU15YWRDpFs094TwBioqyji1PnVFPo8PLN1fG2Xtp7BwRORCF0zXYaQjuUCOg1dJjy2qRmPwEfOnEcobPKqLC3Y68K1IqNx+92a8sB2UUF3iJey6JLLCP1Ql9uzXkRpoY9T66vH3Ufv6B2M0MuKfJQUeHXmohjUchl7Ht3UzKn1NayaUwXkn+3S2u2ntrwoUsfFxR1clA+ZLiroDo0dfcMyXFyqy4ro7BvISeqeGxm7kfK5i+vYfqib/Z3jFw24HrqL5qIPZzBCV8tlLNjZ0s2OQ928a9lU5taUAbC7NfcCGU17T2CY3QLRg4s0Qs8bmjoSR+g1ZYWYHKXuuZGx62Wfu9hO4zdeZQACwTBd/cHhgq4R+hAGPfTklktxgUcj9DRws1suWjaNmrJCKop87M2zCL2te2ig41JXXkSRz6OCni8c7hugyx+M2yEKuR3+70bGtRW2DQunlDO9snjcbJdO56Y1OVrQdfj/MDKzXNRDT8Vjmw5y4qxKZlSVICLMqy1jd2u+Cbp/SA66i4gwa3JJXnj+KuhEl80tjbs+UqArB6mLrV0Byot8kYJhIsK5i+t4bnvruGQBRAYVlarlkgx/MIxHwOdJNPeLpUg99JQ0H+7njYZO3rVsWmTZvNqyvPLQjTG09QSGjBKNZlaelNFVQSf+xBbRuAMJchWhx55E5y6uo8sf5PWGzjHfn5tvP7lsMNuntryIzt6BrJXvPRrwB+18orEdZLEU+1TQU/H4Zmu3vGvZ1Miy+ppSmjr68uac6wmE8AfDcS0XyJ+JLlTQGayUltpyyX6U2tLVH+kQdTljYS1ej4xL+qIboUc/Wrr7z1XqZj7iHwilzEEHKCn00J8nopSvPLapmfl1ZSycUhFZNq+2jLCBfXlgY8BgLafoSovRzK4upaN3gG5/bnPRVdCxlktxgWdIneNo3BS+XAz/b+0ORIbfu1SWFHDSnKpx8dEjhbmiInQdLTocG6GnvnyKfV6dsSgJnb0BXtrVPsRuASvoQN50jLYlGFTkki9ldFXQGcxBT/T4XOD1UFlSkBvLpcs/LEIHa7tsbDo85pNPuKVzJ8d46G5bFItruaSiuMBLfzCUlbLHRyN/2XKIUNgMF/RI6mKeCHq3++Sa2EMHaGzPrY+ugo4j6Ak6RF1qyrJfoMsfDHG4byCSshjNuYunAPDs9rGN0tt7/Ewq9lHgHTw1XEHXmYsG8QdDaUXoJYVejBmcg1QZymObmpk2qZgTZ1YOWT65tIBJxb686RhNabk4EXquBxepoJM8B90lFwW63KigNk6EvmzGJGrKCsfcR2/vHRjW8eNGJRqhD+IfCKflobui3x9QQY+lLxBi7fYWLlo2FU9MtpCIUF9bxp48GVwUsVwSROjVZYWUFHhznulyzAt6byBIW08g4ShRl1wM/2+JGVQUjccjnLO4jrXbWwmOYfTX0RMYkoMO1jaYVOxTQY8iE8sFsj9R9PW/Xsd3H3k7q/vMlGe2tdA/EObiGLvFJZ9y0du6bfpwcYKBZG4uunroOcYdQp9K0G2BruwKeqRcZ5wIHeDiE6bR3hOIlBwdC9p6AnGjEM1FH0q6lktxDmYtCocNL+1q47kd2ZmDdqQ8vqmZqtIC1tRXx10/r6aM/Yf78iLts63HnzBl0WV2dSkN6qHnlp0tNgJIJ0Lv6A0QzmI9l0iEnkDQLzxuKrOrS/j187vHbJ/RpXOj0eH/Q/EHwxSm46FHBD17lsuhLj/+YJjtB7vzdupAYwxPb2vh/CVT8HnjH8f62jKMyX3mCNgIPVGGi4tG6HnAn9/Yz+TSApbPrEq6XXVZEaGw4Uj/QJZaFhWhJziRvB7hhjPqeWVPB282jn6QkTGG9t749Spqy4sic5sqjoeeVoRut8lmgS431c8fDOdNHncs+9p7ae8JsHre5ITbuKmL+VCkyz65xg+sXGZNLuFIf5DDfdnTiFiOaUE/3DvA45sPcsXKmSmjrcjw/yzaLi1dNuMkmVf7/tWzKC/y8evnRh+l9wRCBBKMhtMIfSjWcsnAQ8+moEeJ+NbmrqztNxM27LMByKrZSQS9xmae7ckDH93WcUlhubipizmM0o9pQX/gzf0EgmHed/KslNuOtEBXtz844uHLLd3xc9CjqSgu4P2rZ/Pgmwc4eKR/RPtxGRxUFF/Qu/3BvJiVJR9Ie2BRDgR9X1svHgER2HYwPwX99YZOSgq8LJ5annCbqtJCqkoL2J3j1EVjTMLSudG4uei5LNJ1TAv6Pa82snRaBctmTEq5bfUICnQZY7j8v5/jX+7fOKL2tXYNHyUajxvOmEfIGO54cW/StvzzfRv58ZPbE27j3qyq43noTjtau9R2AUfQ00hbdC2XbEfosyaXMqe6lK15Kugb9nVw4qzKhP65y7yaspxH6Ef6ggTDJmEOusu8WueJIocTXB+zgr79YBdvNHTyvpNnpSywBINDfjOJ0Lcf6mZXaw/3v74/Ev1mQjoROsCcmlLeedxUfv/y3oTCccvaXfz+5X3ct6Ex4ee0xymd6zI4Fd3ongImCv6BTC2X7HWK7mvrYW5NKYunVrAtDy2X/oEQmw8cYeWc5P1WgJOLnltBb3VqGKWyXCqKC6gtL2J3S+7ae8wK+j2vNeLzCFeumpnW9iMp0OVOQhEIhrl3Q1PGbWxNMOw/Hh87q56O3gHui7Of53e08h+Pvk15kY+97b0JbZP2JMObayOTRWuEDulbLlUlBYjAluYjWWiVZW97L3OqS1kytYJdrT2R2u35wqb9RxgImaT+uYtNXezPaepiZNh/CssFYH6Oc+ePSUEPhsLc91oT5y+dkpalAXYy4PIiX0adomu3t7KgroyVs6u4c92+jOp59AVCdPmDabdvTX01y2ZM4tfP7R6yn6bOPv7hzg0snFLONy9fhjGw41B33M/oSBKhT9HJoiMEQ2GCYZNWhF5TXsSly6dzx4t7I8PHx5PDvQN09g7YCH1aBaGwYVcOI8Z4uGWfV6URobs2Ri6zddojEXrqa7G+toxdKujZ5dkdrRzq8qfVGRpNJqNF+wdCvLyrjXMW1/HBNXPYcaib9Xs70t5Xa3fyHPRYRISPnVXP9kPdPLu9NdKGT/7uVQaCYX7+oZMjF1CizIf2ngA+jzCp2DdsXXVZISI6/B8G67Kk46EDfO7CxfQPhPj5MzvHs1kA7G23YjKnuowlU2052nzrGH29oZMZlcVMnVScctt8KNLVmkGEXl9XRmu3n64spjdHc1QL+l+2HGTT/sMZv++e9Y1UlxVy/pIpGb0vE0Fft7sdfzDMOYvreM+K6ZQX+bjz5X1p7ysyOXSaETrApSdOp66iKDLQ6BsPbOLNxsP88P0rmF9XztyaMop8nqSCPrmsMG6fgs9rywtPREEPhU1G2TuR+UTTsFzATht45aqZ/PbFvRwaZSZSKvY6HXJza0qpry2jwCtZS10MBMNp9RVt2NeRln8Og7noufTRXcsl3oC7WOoj7c3NE8VRK+i7Wrr52zte5dsPbcnofZ29dqj8FStnpDXSL5qassK0s1zWbmuh0Ovh1PpqSgt9XLlqBg9tPMDh3vTu3KlGicajyOflutPm8vTWFr7z8BbueqWBvz9/ARc5tTK8HmHR1PKEmQ/tPYG4GS4utSnmFj1a637/9KkdnPv9p9Oe0s8fdAU9teXi8tl3LCIYNvz06fGN0l1rYk51KYU+D/Nry7MSoRtj+NTvX+VdN69Nehxbuvw0dvSl5Z+Drf1fXVaY06qL7T1+KksK0tILV9B3tca3Ncebo1bQv/PI2wTDhtf2dWSU5/3nN/YTCKWXex5LdVlh2rP2PLu9lVPqJ0fmAr1mzRz8wXDSLJNoMrVcXK49dQ6FPg+3rN3F2Ytq+fw7lwxZv3hqRcILvKM3MGRii1jqKooSltB9bFMzK/7t8UhtnKMFYwz3bmiipcuf9mjbdCeIjmZuTRlXnTyLP7y8b1yP0d62HmrLiygrsufd4mkVWUldvHNdA09uOcShLj/POZZfPFz/PN0IHewAo5xaLgnqG8VjTnUpIrmziI5KQX9hZytPbD7IyXMn0z8QzmjY+z2vNnLc9Eksm1GZeuMYqsut5ZKqc7P5cD9bD3ZxzqK6yLJlMypZMauSO9c1pNU56kbCqQoCxVJTXsT1p89lQV0Z/3X1KrwxZUmXTqvg4BE/nb3DnzRSDW+uSxKh/+HlfQSCYdbtbs+ovbHsa+vlwOHs3RS2HeyOXHwv7GhL6z2RCD1ND93l0xcsxGD4yVM7MmtkBuxt62VuzWBt/yVTy2lo76NnBFOjHekf4OfP7Ez5VLmntYebHtrM6fNrmFTs44E39ifc9vWGDnwe4YQMrr95tWURKylddhzq4uYnt41JLZu2bn9a/jnYNNWZVSUq6OkSChtuenALM6tK+O9rVgHwcpoisu1gF280HuaqEUTnYC2XgZChK8XFsdaZdOKcxXVDll+9Zg5bD3bx2r7UN6CWLlvdrSDFwIt4/NMlx/H4P54bN1tlsdNRFs9XtaVzk0foLd3+YTekQ139kYk2NuxLv+M3Hn/3u1e59lcvj2lJ4GQ8+lYzInaC8Bd3pSnoA5lbLmBHEl59yhzufqVh3EYT7msfKuiLR9Ex+tOndvLdR97mQ7e+nFDUg6Ewn7/7dbwe4YfvX8G7T5jO45uaE9pvG/Z1snR6BSWF6R+7+poyDhzuz8jS+9ET27j5ye1jUhKjPY06LtHU5zB1MaVaiMivReSQiLwVtaxaRJ4Qke3O/+kZYmPA/77WyOYDR/jyu5cyo6qExVPLeSnNC/GeV23u+RUrZ4xo3+6Pmmqii2e3t1JXUcTSaRVDll+2YgZlhV7uXJe6c7S125+wKFcqRGRYZO6yxGlT7GN4KGzo7BtI6qHXVRQRCIY50j/0hvbnNw4QNrY40YaGkRcJ6w0Eebv5CLtaerjn1fSsqdHy6KZmTp4zmYtPmMb6vR1p5TsHQplbLi5/f/5CPB7hv/4yfMTutoNd3Hj7ek799ydHVASufyBE85F+5laXRZa5v3emgt7ZG+COF/ewfGYlW5u7Eor6LWt38dq+Tm668gRmVJVw+coZ9ARC/PXtQ8O2DYUNbzYeTts/d4nML9qenki2dvt5YvNBigs8fP/xrWwfpeXU1h2gOoNrcX5tGbtbenIy7WA6Z+RtwMUxy74C/MUYswj4i/N63OnxB/n+Y1tZNaeKy06cDsCp9TW8urcjZYdWMBTm3teauGDplJRDeBPh/qjJctFDYcNz21s4e1HtsGyR8iIfl6+cyYNv7k9ZkS3RXKKjZdqkYiYV+4ZF6If7BjAmfg66i5sTH+uj37+hieUzK7l8xQw27z8y4kEgWw4cIWygrNDLzU9uH/fBJHvbethy4AgXnzCN0+fXEAiGI0WjkpFplks00yqLue60udy7oYldLbbjrKmzjy/+zxtcfPNantl2iINH/LwxghtjY0cvxjAkQp89uZTiAg9bmzPrpPvN83voCYT4wVUr+Pl1J8UV9beaDvOfT2zj0hOnc/kKGySdNr+GuooiHnhj+AC3nS3ddPuDrJydvn8Og6mL6Wa63PtaIwMhw29uWEN5kY/P3/1G2h3esYTCtgJpbQbW57zaMrr8wZxMKp/yjDTGrAViPY0rgNudv28HrhzjdsXllmd20tLl52vvOT4ilqfOr6Y3EOKtpuTpiy/uaqO128//OWlkdgsMjqBMlrr4VtNhOnoHODfGbnH54Jo59A+EeeD15CNHW7sDGaUspouIsGTa8I5Rd/BEMs8+3mTROw51sbHpMFeumsnK2VUEw2ZEqaQAbzXZ0ZT//n+W03ykn9te2DOiz0mXR99qBuBdy6axZn41HoEXdybu0HMZ9NAzs1xcPnneAgq9Hr736Nvc9OBmzv/B0zzwxn4+dlY9T37+XADebMz8GLo+85woQfd4JGlHeDy6+gf4zfO7edeyqSyZVsEFS6dyy3Uns7W5i2tvfYnO3gD9AyH+8Y+vU11WyLevPCFyPXo9wqXLp/PU1pZhTxmuHZfOgKJo3MFF6ZTRNcZw1ysNrJ47mdMX1HDTlSewsekwP30qeXbR3raeuFUSO3sDGJN4LtF41NfmLnd+pB76VGPMAQDn/4QJ3SLyCRFZLyLrW1pGPoPK/s4+fvHsLi5bMYOT5gw+srmznaTy0R/eeICyQi/nLYkvtOmQzvD/tdtaEIGzFtbGXb98ViUnzJzE719OPHLUGENLlz/tUaKZsnhqBW83dw3Zf3uPvfgyFfT7NjTh9QiXr5gRyVxIJ8qNx8amw9SWF3L5ihmct6SOnz61I+00z1jSie4f3dTMCTMnMbu6lEnFBSyfWZmWjz6SLJdoasuLuP6MeTy26SC/fn43V6yYwVNfPI9/vvR45taUUV9bNqL69pEc9OqhE54vnppZpssdL+3lSH+QT5+/KLLs/KVTuOW6k9nW3M21v3qZb/55E9sPdfP9q1ZQFWPTXb5yBoFgmMecG6bL6w2dVJYURAQvXWyNlMK0IvRX9nSwq6WHq9fMAeCS5dO5YuUM/vuv2+MGfcYYbn9hD+/80Vre+7MXhj05u1F2JskJ82ttBclc1HQZ905RY8wvjDGrjTGr6+pGLqbff2wrYQNfvnhoGt6UimLm15XxcpILMRgK89img7zjuKkJ5wRMB9dDT/Yo9ez2Vk6YUZn0jn7Nmjm83Ww7aOPREwjRNxAaF8sFbKZLV3+Q5qhBLu5TR7LBE3XlQwU9HDbcv2E/Zy2spa6iiCkVxdZHH6Ggv9V0mBNmViIifOldS+nyB/n52szztu94aS/Lv/EYTyaZmq/5cD8b9nUOmc/y9AW1vN7QmXKQ0WAe+sgvn0+dv4DPvGMRj37uHL5/1Yohk5Qvn1nJxhFF6D2UF/mGic+SqRW0dPnTGhTXGwjyq2d3c96SOpbPGpqJcv7SKdzy4ZPZfrCbO9c18OHT58Z9El01u4rZ1SXDsl027Otk5eyqtIrhxTKvpiytXPS71u2josjHJcsHf9dvXr6M6rJCPn/360Pq2nT2BvjbO17lXx/YxKo5VbR2B/j2Q5uHfJ5rL6ab5QIwc3IJBV7JSQmAkZ6RB0VkOoDz//AekDHk9YZO7tvQxI1n1UdqDkdzan0N6/d0JExRWre7nfaewJAfeSSUFHopKfAm7BTt6h/gtX0dnL0ofnTucvkKO6jpwQTpXa1d7kxF4xehw9BMF/diT3biVpYUUOCVyCjWV/a009TZx99EFThbNWfyiDJd+gdCbD/UzfKZVkSOnzGJK1bM4DfP786ozvu9rzXytfvfIhQ2fOuhzQkLUz2+2UaPF58QLeg1DIQM6/ckb3/EQx9FcDCpuIDPv3Nx5LeI5sRZlew/3J/xqFy3KFesYGbSMXrnugbaewL8wwUL464/f8kUbr1hNVedPIuvvvu4uNuICJedOIMXdrZFBLHbH2Tbwa6M/XOXebWpBf1w3wAPbTzAFatmRMZ/gK2r/r33nsi2g9385xO2M/rVve1c+l/P8dTWQ/zLpcdx1ydO42/Pmc/d6xt5euugnLnXRSbXotcjzK0pY3cOBheNVNAfAK53/r4e+NPYNCc+33l4C7XlhXzq/Pgn2Wnzq+nyB9m8P35Fu4c2HqC00Mt5GQ71j0ey4f8v7GwjGDbD0hVjqSgu4OQ5k3l+Z/ynipYRDipKl0imS5SgRwpzJYnQPR6hpqwocsO5b0MTpYVeLlo2NbLNytlV7D/cn/FkG5sPHCEUNkPGB3zhoiWEwoabk9Rwj+bRtw7wxf95gzMW1HDLdavZ29bLbc/vSbBtMwunlLNwyqCgnjJvMj6P8EKC38VltJZLKk6cZUVvY1NmTzr7YnLQXeL93vHoHwjxi7U7OX1+DSfPjT9xM8DZi+r4/lUrkqYeXr5yBqGw4eGNBwB4s7GTsMncP3epry3j4BF/0qenP73ehD8Y5upT5gxbd/7SKVx9ymx+sXYn/3L/Rt5/y0t4PcI9f3cGN549HxHhM+9YxMIp5Xz13o0R/98dGZ7peJBcpS6mk7Z4J/AisEREGkXkY8B3gXeKyHbgnc7rceNbV57AD65aQXnR8KJRYCN0gJd3D78QQ2HDY5uaOX/plFHZLS415YUJLZe121ooK/QO8fgTcebCGrYcOBK3Al/rCIb9Z0JVaSFTJxUN8VXbewKUFnpTHiM3F71/IMRDGw9w8bJpQ6KhVSP00V1/M/oxf3Z1KdeeOpe71zewsyV5tPPMthb+4c4NrJxdxS8/vJp3Hj+Vdyydwn//dcewSLe9J8DLu9uH2C0ApYU+Vs6uSumjj4XlkoxlMybhkcw6RkNhQ0NH75AOUZcpFUVUlhSk9NHvebWRg0f8fDpBdJ4JS6dNYvHUch543T6FRkaIjjRCr0leI8UYw53rGjhh5iROmBl/0NI/X3oc0ytL+N1L+3j3CdN48DNnsSKqPcUFXr7/vhM5eKSf7zxsS4q0dfsRSa+OSzT1tWXsaevN6qTykF6WyzXGmOnGmAJjzCxjzK3GmDZjzDuMMYuc/0c3PDAFi6dWJI2up1UWM7emlJd2DW/Gut3ttHYHuOSE6WPSlmQR+rPbWzl9QW1aNR/OcDpN44lHS/f4Wi4wvARAe0/8yaFjcecWfertQ3T1B/mbk4bWk182YxKFXg8bGjKzXd5qOkx1WSEzKodW4Pv0BQsp9nn44eNbE7533e52/vaO9SyaUsFvPrImMuz9ny49jv6BED96Yuh7n9x8kFDYDLFbXM5YUMPGxs6keeAjqeWSCWVFPhZOKc/IRz9wuI+BkBmSg+4iIixJMdnFQCjMz57eyao5VZyxoGZE7Y7l8hUzWL+3g6bOPjbs62R+bdmwDtR0WTjFdjTe9sLuuNbqxqbDbDlwhA/Eic5dKooL+O3H1vCL607mv69ZxaTi4YPoVs2ZzMfPmc+d6xpYu62FNqe+UaJxHYmory0jEAyzP4ujnuEoHCmaiFPrq3llT/uwO+Ijbx2guMDD+UtH3iEbTXVZIbtbe/jVs7vYFzUceU9rD/vaezlncXL/3OXEmZVUFPl4Ps5w85YuPx7J/DEvE9hUiZoAABkPSURBVJZOq2D7we7IxZG2oDvD/+/d0MSUiiLOWDD0+xb5vBw/Y1LGEfrGpiORDtFoasuLuPHs+Ty8sZk7XtzD2m0tbGw8TEN7Lz3+IG82dvLR215hZlUJv/3YGipLBi/SBXXlXH/GPO56pWFIKuWjm5qZWVUSd+rB0xbUEDawLk5w4OIfCCECBd7MO/fSZfnMKt5oPJz24BT3XJwXJ0IHWDzNFmVL9Hn3b2iytfMvWDiiTst4XObkpv/5jf283tA54ugcrG30yfMWcPf6Rj5714Zh9ZvueqWB4gJPykGDC+rKuWjZtKTf8R8vXMyCujK+eu9G9rX3ZtQh6pKr1MX4HsZRyKn1Ndy9vpG3m7s43rlQw2HDI281c/6SKUNsgdHw3pNmsXn/EW56aAs3PbSFpdMquGjZNPocby+6fksyfF4Pp86v4YU4ec+t3X6qy4oyjgoyYfHUCvzBMHvbephfV24Lc6URPdVWFNLa7efprYe44Yx5cdu4cnYVf3ylgWAonHLOSHA6RA92cUGCm+7Hz5nPPa828rU/bYq7ftbkEn5346lxn2g+c8Ei7n2tkX/782bu+sRpdPuDPLe9letOnxv3oj5pzmQKfR5e3NXGhcdPHbYeBmcrGivhi8eJsyr539caaT7Sz/TKkpTb720fnoMezZKpg5lNsZ8XDIX56dM7OX76pIxLSidjbk0ZK2ZXcfsLe2jp8o/YP3f58sVLqSwp4LuPvE23P8jPrj2ZkkIvPf4gD7y+n0uXz4gbdWdKcYGX/3jfCt738xdo6uzjtPmJ+xMSMT9K0M9OUxPGgokj6PPdfPS2iKCv39tBS5efS5aPjd0CcObCWh793Dnsa+vl8c3NPL75ID/563bCxlZam5dBju2ZC2t4cstBGjt6h2TvjNco0WiWTrPHaGtzF/PrymnrDrCgLvEM7C515UWEDYRDJuH0favmVHHbC3vYerArrSJobzd3EQybSIZLLOVFPp78/Lk0dfbS0TtAR0+Ajt4AHb0D9AVCXLV6VkLRqywt4PMXLeFr97/FY5ua8QfDBEJh3h3HbgF7MZ88Z3LSjlEr6ONjt7ic6PQlvNFwOD1Bb+ulwCsJt43ObIrd5j8e28ru1h5+cd3JY36TunzFDL71oE0FXJnhkP94/N25C6gsKeCf7tvIdbe+zK03nMJjm5rp9ge5Zs3sUX++y8lzJ3PjWfX88tndIxpZXldRRFmhN+uzRU0YQZ81uZSZVSW8vKudj5xZD9jBREU+D+cvHbuow2VOTSk3nj2fG8+eT1u3n7++fSgjMQd7cwBb5e/9p0QJendg3AV94ZRyRGxNl3cvn05Hb7oeuvW4l0yt4Pjpwy0LINIpvGFfZ1qCvtHpEE3UmQU2ZTQ6IyUTrjllNr97cS/ffngLS6ZWUFdRlLTj+owFNfzwiW1OsbLhx8QfDI1bh6jLcdMn4fMIG5s643r9sexr72H25NKET3XRRbqi+6MefHM/v1i7i+tOmxupmz+WvOfE6dz00GYKvR6WTh/Z7xfLNWvmMKm4gM/9cQNX/+IlPGLP55Pnjm1JqS9ctIRX9nSkleQQi4gwLweZLhPGQwcbpa/b044xxrFbDnDu4rqE2TFjRU15EVetns0p8zJ7NFs0pZy6iiKej7FdWrtGXpgrXUoKvcytLmXbwS76B0L0BkJpd4oCXLlqZsJobtbkEmrLC9P20d9qPExVacGQwTVjic/r4WvvOZ6G9j6e3HKIi46fiieJnXW60ymYqOibfyCccencTCku8LJ4akXamS572+JnuLhMLitkSkURb0d1jG5t7uJL97zJyXMn87X3HD/qNsdj6qRizl8yhdPm14yocmgiLj1xOr+6/hT2tPawaf8Rrj5l9pg/XRQXeLn/78/kY2fVj+j99Wnkzo81E0rQT6uvob0nwPZD3Wxo6ODgET+Xnjh2dstYIyKcsaCG53e0RTqr3GH/4x2hg+1oeru5K60cdJdVc6r40sVL+NBpibMJRISVs6vSznTZ2HSY5XE6RMeSsxbVcuFx1hNPFfGeOKuK0kJvwvTFbFguACtmV7KxKXXHqDHG1kGvTizowJAaPof7BvjbO9ZTVuTjp9eelPHsXZnwsw+dxC3XnTzmn3vu4jp+d+Marlw5g6tOHju7ZayYX1tGQ3tvRhPwjJYJJegRH31XGw9vbKbQ6+GCcbBbxpIzF9TS2u1n20GbZ32kP0ggFB6XwlyxLJlawZ7WHvZ32kFA6UToBV4PnzpvIRUpOp9WzZnMrpaelLVY/MEQ2w52JbVbxoqbrjyBL160eFhmTiyFPg+r51Un9NGzYbmAzXTp7B2goT156lt7T4Buf5A5NcktvyVTbWbTQCjM5//4Oo0dffzs2pPSmqx5NBT5Uo9vGCknz63m5qtXUVk6+s7Qsaa+roywGZwWMBtMKEGfU13KtEnFvLSrnUc2HuCcxbUphSfXnLHQPt4/v8PaLiOZS3SkLJ5WQdjA+j02RW8s0yRXOSlqr6coMrU1RYfoWDKtsphPX7AoreyhMxbUsONQN4e6ho94dbNcxptIx2iKY+hmuKSK0BdPs5lNX77nTf7y9iG+ftnxrM7QJlTSp94t0pVFH31CCbqIcOr8ah7f3Mz+w/1jmt0yXsyaXMrcmtJI+mJE0LMQobsTcLjWQnWS2Yoy5cTZVYiknsHI7RDNhqBnwunz7Y32xThRun8gO5bL4qkVFPo8kWOUCDcHPd6w/2iWOB2j925o4r0nzeK60+aOTUOVuNTXuKmL2avpMmGyXFxOra/hT6/vp8ArvOO4+HnE+cYZC2p58I39BEPhSDGj2ixE6HNryij0enhltxuhj90+y4t8LJ5SkbJj9K2mw1SWFDBr8vh0iI6UZTMmUVHs46E3D1BXUYTP48HrEXweobMvwIxx6sCNptDn4bjpk1KW0t3b1ouILZWQjEVTy/F6hOOmV/DtvzlhXPssFJsy6w5EzBYTT9AdH/3sRXVDRg3mM2curOHOdft4s+lwViP0Aq+HBVPK2XLgCCKM+fFaNaeKR95qxhiTUDyy0SE6EnxeD2ctrOWRt+xYg1jcPP7xZsWsSu59rYlw2CTMzNnb3sO0ScUpferSQh93fGwNS6ZWjJunrQwl20W6Jpygz68t48Onz+U9J45s3tBc4D7ev7Cjld5ACJ9HsnYzWjLVCnpVScGYj0xdNaeKu15pYHerHY0aiz8YYmtzFx8dYVrYePMf7zuRj55VTzBkCIUNwXCYYMgQDBtOGuWox3RZPrOS3764l12tPZF6JrHsa7Nlc9MhVYewMrbU15ZFJlDPBhNO0EWEf7vihFw3IyNqyos4bvoknt/R5uRwFyXNkx5LFjs+erK5REfKqqgBRvEE3WZcZKdDdCRUFBdkPLZgrIkupZtI0Pe293L+KGbiUsaP+toy7nm1kR5/MFI0bjyZUJ2iRzNnLrCTXTd09GYlw8XF7RitGQdBX1BXTnmRL2E+er52iOYTC6eUU1Lg5Y2G+B2jvYEgLV1+5qZIWVRyw/wsF+lSQc8TzlxUSyAU5pU9HeM+SjQad0h4pvWe08HrEVbMrozUwo5lY9NhJhX70rYLjkW8HuGEmZMSZrq4Oc56DPOTeSroxyZr5lXj8wihsMlqhD6zqoTKkoJxG1yyZl4NbzUd4YePbyUYGjpiLnoOUSUxy2dWsWn/4WHHDwYnfEiVsqjkhnk1KujHJGVFvkh50fGc2CIWEeEPHz+Vz7xjUeqNR8AnzpnP+1fP4r//uoNrf/VyZGq6QDDM2we61G5JgxWzK+kfCLP90PB85n3tVijiTWyh5J6SQi8zKovZo4J+7OFmIGQzQgdYNqNy3PZZUmhrS//wqhW82XiYS378LM9ub2HbwS4CoXBWhvwf7bg3vdgZjMJhw9vNXVSWFOTl0HfFUl9Xxi4V9GMPd7ajdOpfH2289+RZPPDpM6kpL+TDv17HNx6wk1WooKdmXk0ZFUU+3mjsJBw2rNvdzjce2MQZ3/0r977WlLCMsZIf1NeWsaulO+3Zp0bDhEtbPJo5eW41f7jxVNbUT8z6GoumVvCnvz+Lf33gLe5e30hFkS9l/REFPB5h+axKHnmrmSc2H+RQl59Cn4fzFtfxleVLE86spOQH82rKONIfpKN3YFynlQQV9LzDnTx6ouJaMOctmcJAKJy1fPujnXMX1/Havg7OWzyFS06czgVLp4x7nX9lbFg8tYKl0yrSnkRmNEg2HgNcVq9ebdavX5+1/SnKRCLZ8H9lYiMirxpjVqfaTj10RTlKUDFXUqGCriiKMkFQQVcURZkgqKAriqJMEFTQFUVRJggq6IqiKBMEFXRFUZQJggq6oijKBCGrA4tEpAXY67ysBOIVeU60vBZozWD7TJaP52eP1efn4rhkut98Ol6JluvxOjrOu0w+P5+OV6Llme5zDrAv6vVcY0zqaamMMTn5B/wiw+Xrx+hzhi0fz88eq8/PxXHJdL/5dLxy+Fv///bOPdiqqo7jn29AKl5AQTR8gjMiKimJg88IjZoyG8FUIk2J8v1CI6dRm9QeWvl+ZaLiYwwBkQRHBSIQDVMBeV1xogRFZQTTVEQJ6Ncfa93u5nCe+55zz7mH32fmzNlnrX1+v9/aa+3fXq+9Vr1dr2qVu6Ll19L1ymNjqTrXZgsv9Klml8vUEsPLJacU+ZWUXaqcal2Xtnq9SpXv16u2yl0p8mvpepWqN9e52bf5KkCrdrm0BEnzrIi1DGpNdqXlV9r2auhtq7KrpbcaafJ7prI609rYlgZF72mjsistv9K2V0NvW5VdLb3VSJPfM5XVmcrGNlNDdxzHcfLTlmrojuM4Th7coTuO49QJNefQJW29tXnLZW6WtDDx6Znn3EGSnixBtkl6OPG7vaS1pcgoUs/QqKtPOeVm0dMq6Ymyy57XpeqQNFtSiwfIKpk/kq6U1ChpcSy/h5dbRw69e0p6QtJySf+UdKuknFvuSBolqeCegvE63Zj4PVrS1WWyueleb5S0SNJlklrNz7VGmc5HzTn0CvGpmfVLfFaWUfYnQF9JTTs7fw14uxQBkorZS2w48Dzw3RJltyvlfMqQnm2UVPlTCElHAicAh5rZwcBgYFU5deTQK+Bx4E9mth/QG2gAfpXnb6OAYjaJ3QCcJKkS+y023esHEcru8cDPK6CnJqlJhy6pQdJMSQskLZF0YgzvKWmZpDHxCTw94XhK1dFO0u8kvRxrPuckojtLmizpVUl3F/GEfxr4VjweDoxL6Bkgaa6kV+L3/jF8hKSJkqYC0wvY2gAcDfyQ6DBiS2JONjslrZN0raQXgSOLvyotSs9zkvolzvurpIMLKcpsEUm6Q9KIeLxS0jWJcpCq9ptPRznIkz+50nW8pNckPS/ptgKtnx7Ae2a2AcDM3jOzdyT1l/SspPmSpknqEWXPlnRLzJulkgakTNZxwGdmNjbq3QxcCoyUtKOkG2KeLJZ0kaSLgd2BWZJmFZC9iTCL49LMCEn7xHt/cfzeW1KXWBaayndHSaskdcinxMzWAGcDFyqQ856XdHlMzyJJ1xd/mbamNfxXTtK8jVTJD7COsHl15/h7F+AfgICehMLQL8ZNAE4vQuZmYGH8TI5hZwNXxePtgHlAL2AQ8BmwL9AOmAGcXMDeg4HHgO2jjkHAkzG+M9A+Hg8GJsXjEcBbQNci7D8duC8ezwUOzWcnYMCpLbj+adJzJnBLPO5Njjfjsuj6v+wYdgcwIh6vBC6Kx+cD96ZMTz4ds4HDWlhmc+XPVjrjNV0F9Irh45LnZZHdEPPg78BdwFeADlFP93jOMOD+RHrGxOOBwNKUaboYuDlL+CvAJcCkRDnomsivXYrMk87x/C7AaODqGDcVODMejyS0EACeAI5NpDdrWQDWZQn7ANiN3Pf8N+P17JhMTwvun7L6r1I+NVlDJyT+15IWA38G9iBkCMAKM1sYj+cTLlIhkl0uQ2PY14EzJC0EXgS6AfvFuJfM7HULtZJxwDH5hJvZ4mjHcOCpjOguwERJS4GbgYMScTPM7P0i7B8OPBqPH42/89m5mXDDpSJleiYCJ8Ra00jggbT6M3g8fheb19UgV/5kow/wupmtiL/H5TkXM1sH9Cc4o7XAeOAcoC8wI5bfq4A9E38bF/87h9Da3Kmk1AREqBhkCx8I3G1mm6KeYsrwFpjZR8BDhAdHkiOBP8bjh2ku0+MJjhxCK2h8CeqaNmPNdc8PBsaa2fpoW8npyaKvnP6raIrpu60GpwHdgf5mtlHSSkLNBkL/WxObgbRNFhFqf9O2CJQGsXVBLmay/hTgBkLNrFsi/BfALDMbqjAYOzsR90lBI6VuhOZvX0lGqI0bwdHmsvOz6ORbQknpMbP1kmYAJwKnAsUONG5iy66/7TPim/J7M+nLayEdqcmTP1Ny6Cx5p+eYl7OB2ZKWABcAjWaWqzstTfnNpBH4TjJAUmdgL+D1lDIzuQVYAIzNc06TninAdZK6Eh5wfylGgaR9CWVnDbnv+W9QnvQ00Rr+Kyu1WkPvAqyJF+NYYJ8K6JgGnNfUDyept6QdY9wASb1in90wwmBXIe4HrjWzJRnhXWgeVByRws6TgYfMbB8z62lmewErCDWXNHYWS5r03AvcBrxcQi3nDeBASdtJ6gJ8NaW91dKRK3/IofM1YF81z7QaRh4k7S9pv0RQP2AZ0F1hwBRJHSQlW37DYvgxwIdmlm01v0LMBDpKOiPKagfcSGh5TQfOVRzMj04W4GOgU7EKYhmZQBh7aGIuzQPLpxHLdGypvATcSuiiKlhhkdQduBu4w0IfR657fjphbKBjRnrS0hr+Kys1VUOPBWQD8AgwVdI8Qv/haxVQdy+hubNAkgjN2SEx7gXgeuCLwBxgciFhZvYWobBl8lvgQUmXUWStIoPh0ZYkk4Dz0thZLGnSY2bzJX1E/hoX0JzXZrZK0gRgMbCc0EdbFlpDB7nz53sEZ7WFTjP7VNL5wDOS3iM4qXw0ALfHbpNNhP7YswmDirfFh0V7Qm23Mf7nA0lzCf3UI9MkysxM0lDgLkk/I1T+ngKuINQsewOLJW0ExhDGCO4Bnpa02syOLVLVjcCFid8XA/dL+gnhnvxBIm48oWtvUB55O8QulQ6E6/UwcFOMy3rPm9kzCgP68yT9J5HOkmhl/5Xdhtg5XxNIOoQwoJN2ZH6bIXYNjTazE6ptSxOSdid0DfQxs/8WOLfieV2r5UlSg5mti07lTmC5md1cJtmzCeViXjnkOcVTC+WtZrpcJJ1LGMy5qtq2OKUTm+YvAlcW4cwrntc1Xp7OirXIRkLz/A9VtsdpIbVS3mqqhu44juOkp2o1dEl7SZoVJ9o3SrokhneVNEPhdeMZknaO4X0kvSBpg6TRGbIujTKWShonqWyzGBzHcTIps/+6JPquRkmjWmJXNbtcNgE/NrMDgCOACyQdCPwUmGnhdeOZ8TfA+4QBkxuSQiTtEcMPM7O+hGljZX392nEcJ4Ny+a++wFnAAOAQwrscyVlNJVE1h25mq81sQTz+mDAVaw/CPOYH42kPEmeemNkaM3sZ2JhFXHvC6HZ7wloS71TYfMdxtmHK6L8OAP5mZuvji1rPAkNJSU0MisY5uV8iDKrtZmarIVw0YNd8/zWztwlPvTeB1YR5t3nXRnEcxykXLfFfwFJgoKRucR788YSXt1JRdYeusLDRJGBUfB241P/vTHgq9iIsDrSjpNPLa6XjOM7WtNR/mdky4DeEtZieARYRunNSUVWHHt/YmgQ8YmZNa3a8q+aV43oQXtnNx2DC+ghrzWwjYe2Poypls+M4DpTNf2Fm95nZoWY2kNDXvjytTdWc5SLgPmCZmd2UiJpCWLmP+P1EAVFvAkcoLKkpwivWy8ptr+M4ThNl9F9I2jV+7w2cRIEF2/LKqtY89LjOxHPAEqDpRZQrCP1QE4C9Cc76FDN7X9IXCMtddo7nrwMONLOPJF1DWL9iE+EV6x9ZXD/acRyn3JTZfz1HWABvI3CZmc1MbZe/WOQ4jlMfVH1Q1HEcxykP7tAdx3HqBHfojuM4dYI7dMdxnDrBHbrjOE6d4A7d2WaQdHXmSncZ8UPiAkuO0yZxh+44zQwB3KE7bRafh+7UNZKuBM4AVhH2kJwPfEjYl/PzhD06v0/YfPnJGPchzTve30nYwX09cJaZtdr+kI5TKu7QnbpFUn/CLvWHE5ZYXkDYBX6smf0rnvNL4F0zu13SA4Qd5R+LcTOBc81suaTDgevM7LjWT4njFEf7ahvgOBXky8BkM1sPIGlKDO8bHflOQAMwLfOPcRW9o4CJYdkOALaruMWO0wLcoTv1TrYm6APAEDNbJGkEMCjLOZ8D/m1m/SpnmuOUFx8UdeqZOcBQSTtI6gR8O4Z3AlbH5U9PS5z/cYwjrm29QtIpEFbXk3RI65nuOKXjfehOXZMYFH0DeAt4FfgEuDyGLQE6mdkISUcDY4ANwMmEVfF+D/QAOgCPmtm1rZ4IxykSd+iO4zh1gne5OI7j1Anu0B3HceoEd+iO4zh1gjt0x3GcOsEduuM4Tp3gDt1xHKdOcIfuOI5TJ7hDdxzHqRP+ByBnhFwcui2iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fb.resample('1W').agg(\n",
    "    dict(high='max', low='min')\n",
    ").assign(\n",
    "    max_change_weekly=lambda x: x.high - x.low\n",
    ").max_change_weekly.plot(\n",
    "    title='Difference between Weekly Maximum High Price\\nand Weekly Minimum Low Price of Facebook Stock'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 5\n",
    "Using matplotlib and pandas, create two subplots side-by-side showing the effect that after-hours trading has had on Facebook's stock price:\n",
    "1. The first subplot will contain a line plot of the daily difference between that day's opening price and the prior day's closing price (be sure to review last chapter's time series section for an easy way to do this).\n",
    "2. The second subplot will be a bar plot showing the net effect this had monthly.\n",
    "3. Bonus 1: Color the bars by whether they are gains in the stock price (green) or drops in the stock price (red).\n",
    "4. Bonus 2: Modify the x axis of the bar plot to show the three-letter abbreviation for the month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e07f050>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = (fb.open - fb.close.shift())\n",
    "monthly_effect = series.resample('1M').sum()\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(10, 3))\n",
    "\n",
    "series.plot(\n",
    "    ax=axes[0],\n",
    "    title='After hours trading\\n(Open Price - Prior Day\\'s Close)'\n",
    ")\n",
    "\n",
    "monthly_effect.index = monthly_effect.index.strftime('%b')\n",
    "monthly_effect.plot(\n",
    "    ax=axes[1],\n",
    "    kind='bar', \n",
    "    title='After hours trading monthly effect',\n",
    "    color=np.where(monthly_effect >= 0, 'g', 'r'),\n",
    "    rot=0\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
